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Senior Data Science Engineer / Senior Machine Learning Engineer – Applied Insights
PayPay CorporationSenior Data Science Engineer or Machine Learning Engineer at PayPay creating models for product insights. Leading architectural decisions and collaborating with cross-functional teams in a hybrid work environment.
Tech Stack
Tools & technologiesPythonSQL
About the role
Key responsibilities & impact- Own end-to-end design, implementation, evaluation, and maintenance of machine learning models for prediction, recommendation, anti-fraud, etc. from problem framing to production
- Lead architectural decisions for data science systems. Process, analyze, and visualize user and merchant data, providing data-driven insights that influence product strategy for technical and business divisions.
- Collaborate with data engineers, product managers, and stakeholders to build robust production systems
Requirements
What you’ll need- Bachelors in a quantitative field such as Computer Science, Machine Learning, Mathematics, Statistics, Economics, Physics, or equivalent
- Verbal and written communication skills in English. English is the primary working language for the team; Japanese is beneficial for cross-functional collaboration.
- More than five years of work experience as a data scientist, machine learning engineer, or equivalent role
- Experience in Python and SQL (any variant)
Benefits
Comp & perks- Social Insurance (health insurance, employee pension, employment insurance and compensation insurance)
- 401K
- Language Learning support
- Translation/Interpretation support
- VISA sponsor + Relocation support
ATS Keywords
✓ Tailor your resumeApplicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills & Tools
machine learningdata analysisdata visualizationPythonSQLdata sciencemodel evaluationproblem framingrecommendation systemsanti-fraud systems
Soft Skills
communication skillscollaborationleadershipdata-driven insights
Certifications
Bachelor's degree